We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AHSG is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2368.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
15193.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
13825.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
13581.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
12733.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
11363.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
10987.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
10542.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
9681.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
9224.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
8658.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
7587.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
7247.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
7129.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
7057.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
6702.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
6263.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
6228.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
6063.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
6048.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
6034.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
5848.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
5616.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
5505.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
5380.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5344.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
5328.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
5316.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
5303.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
5288.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
5282.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
5160.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
5149.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
5012.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4946.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4906.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4864.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4714.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4634.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4605.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4529.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
4510.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
4510.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
4454.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4424.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4403.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
4387.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4370.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
4331.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
4313.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
4283.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
4269.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
4262.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
4209.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4182.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4114.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
4094.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
4080.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
4070.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
4020.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
3993.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3958.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3942.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
3901.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3871.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3851.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
3818.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3801.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3789.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
3779.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3739.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3733.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3693.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
3681.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3659.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3650.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3645.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3579.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3499.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3495.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3493.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3492.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3486.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3479.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
3473.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
3455.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3435.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3414.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3361.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
3339.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3321.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
3291.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3284.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3280.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3262.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3256.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
3200.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3172.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3163.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3091.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3086.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3072.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3056.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3037.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2999.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2941.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2879.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2872.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2871.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2841.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2835.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2810.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2775.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2774.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2741.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2737.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2717.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2707.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2698.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2691.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2667.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2636.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2605.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2559.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2527.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2522.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2514.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2513.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2501.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2481.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2476.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2474.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2474.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2445.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2434.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2410.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2402.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2398.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2361.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2360.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2358.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2354.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2352.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2346.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2340.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2309.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2279.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2265.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2245.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2208.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2208.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2195.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2195.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2190.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2186.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2165.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2160.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2156.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2146.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2124.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2121.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2108.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2108.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2108.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
2107.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2106.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2084.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2070.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2069.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2061.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2061.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2044.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2036.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2024.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1963.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1960.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1923.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1911.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1880.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1876.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1868.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1840.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1835.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1834.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1821.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1793.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1783.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1779.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1775.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1771.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1771.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1751.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1704.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1693.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1674.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1666.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1643.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1628.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1624.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1607.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1607.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1606.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1599.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1574.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1567.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1560.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1559.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1558.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1551.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1548.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1547.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1533.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1533.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1518.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1514.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1504.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1493.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1489.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1460.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1456.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1451.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1436.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1435.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1430.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1422.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1415.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1388.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1344.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1343.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1318.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1316.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1311.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1309.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1307.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1288.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1287.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1264.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1262.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1254.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1249.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1238.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1208.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1206.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1203.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1187.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1160.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1144.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1087.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1078.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1069.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1061.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1054.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1040.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1030.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1028.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1026.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1019.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1018.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1018.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
994.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
971.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
962.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
960.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
956.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
949.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
948.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
942.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
919.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
899.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
899.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
894.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
891.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
885.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
880.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
874.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
867.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
836.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
833.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
806.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
795.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
787.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
786.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
783.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
781.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
775.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
773.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
759.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
754.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
740.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
736.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
714.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
703.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
683.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
649.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
636.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
627.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
621.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
610.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
595.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
538.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
534.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
512.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
512.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
504.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
491.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
463.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
449.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
402.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
382.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
373.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
369.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
343.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
343.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
308.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
306.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
285.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
280.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
266.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
264.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
253.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
249.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
228.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
209.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
193.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
192.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
191.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
179.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
177.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
169.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
165.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
151.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
136.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
123.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
108.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
97.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
96.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
84.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
66.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
57.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
47.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
45.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
26.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
20.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
16.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
15.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
11.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
8.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
7.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
6.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
6.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
5.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
5.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
4.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AHSG is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3581.4
Number of samples
231
Samples
Sample
Description
pTPM
DO48719
80 years, male, NA, stage:2, alive, 690 days
22648.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
21777.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
14409.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
14145.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
12011.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
11486.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
11197.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
11170.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
10166.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
9941.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
9412.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
9287.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
8960.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
8960.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
8826.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
8734.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
8634.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
8614.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
8324.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
8186.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
8051.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
7970.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
7864.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
7841.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
7543.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
7523.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
7495.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
7448.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
7268.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
6990.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
6861.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
6826.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
6517.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
6479.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
6455.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
6322.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
6245.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
6236.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
6219.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
6204.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
6065.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
6050.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
6009.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
5937.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
5924.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
5905.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
5870.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
5826.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
5713.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
5448.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
5414.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
5396.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
5385.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
5356.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
5302.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
5257.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
5225.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
5026.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
4967.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
4927.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
4918.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
4878.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
4826.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
4810.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
4798.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4796.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
4759.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
4673.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4639.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
4638.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
4626.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
4598.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
4580.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
4570.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
4452.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
4418.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
4314.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
4287.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
4285.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
4255.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
4199.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4199.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
4127.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
4065.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
3960.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
3955.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
3950.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3758.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3702.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3672.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
3656.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
3587.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
3567.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
3531.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
3524.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
3480.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3469.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
3453.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
3437.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
3390.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
3389.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
3366.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3198.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
3180.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
3132.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3111.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
3104.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
3099.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
3073.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3025.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
3011.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
2987.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2982.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
2963.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
2903.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
2859.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2817.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
2799.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2674.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
2638.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
2631.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
2586.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
2489.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
2487.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2450.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
2448.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2421.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
2421.5
DO23551
73 years, male, NA, stage:3, dead, 150 days
2410.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
2401.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
2380.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
2377.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
2368.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
2273.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2245.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
2244.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
2202.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
2165.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
2138.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
2092.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
2081.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2066.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
1952.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
1933.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
1845.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1826.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
1795.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1793.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
1751.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
1742.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
1739.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1736.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
1660.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1594.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1575.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1563.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
1553.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
1467.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
1464.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1449.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1423.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
1402.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1398.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
1390.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
1383.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
1321.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
1293.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
1218.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
1172.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1136.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1111.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
1099.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
1066.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1042.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
1041.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
970.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
961.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
951.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
945.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
926.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
914.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
903.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
895.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
891.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
868.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
838.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
827.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
783.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
782.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
757.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
700.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
685.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
581.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
543.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
501.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
477.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
456.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
454.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
429.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
415.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
360.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
359.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
307.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
287.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
259.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
236.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
204.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
196.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
173.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
150.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
127.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
125.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
63.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
60.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
56.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
46.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
24.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
17.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
12.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
11.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
7.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
4.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
4.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
4.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
2.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
1.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
1.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.5
363
Tumor
1.7
367
Tumor
1.3
743
Tumor
1.2
983
Tumor
1.2
815
Tumor
1.2
921
Tumor
1.1
343
Tumor
1.1
671
Tumor
1.1
192
Normal
1.0
817
Tumor
0.9
283
Tumor
0.9
425
Tumor
0.8
517
Tumor
0.8
785
Tumor
0.8
391
Tumor
0.8
967
Tumor
0.8
1041
Tumor
0.7
851
Tumor
0.7
665
Tumor
0.7
331
Tumor
0.7
535
Tumor
0.6
285
Tumor
0.6
217
Tumor
0.6
387
Tumor
0.6
813
Tumor
0.6
713
Tumor
0.6
471
Tumor
0.5
715
Tumor
0.5
975
Tumor
0.5
863
Tumor
0.5
545
Tumor
0.5
444
Normal
0.5
368
Normal
0.5
697
Tumor
0.4
112
Tumor
0.4
223
Tumor
0.4
737
Tumor
0.4
355
Tumor
0.4
1045
Tumor
0.4
553
Tumor
0.4
135
Tumor
0.4
375
Tumor
0.4
261
Tumor
0.4
455
Tumor
0.4
125
Tumor
0.4
695
Tumor
0.4
131
Tumor
0.4
365
Tumor
0.4
744
Normal
0.3
137
Tumor
0.3
227
Tumor
0.3
224
Normal
0.3
878
Normal
0.3
186
Normal
0.3
956
Normal
0.3
746
Normal
0.3
185
Tumor
0.3
741
Tumor
0.2
516
Normal
0.2
188
Normal
0.2
982
Normal
0.2
963
Tumor
0.2
474
Normal
0.2
384
Normal
0.2
951
Tumor
0.2
126
Normal
0.2
515
Tumor
0.2
777
Tumor
0.2
351
Tumor
0.2
191
Tumor
0.2
538
Normal
0.2
383
Tumor
0.2
221
Tumor
0.2
816
Normal
0.2
965
Tumor
0.2
523
Tumor
0.2
491
Tumor
0.2
685
Tumor
0.2
938
Normal
0.2
778
Normal
0.2
138
Normal
0.2
563
Tumor
0.1
421
Tumor
0.1
857
Tumor
0.1
124
Normal
0.1
311
Tumor
0.1
472
Normal
0.1
271
Tumor
0.1
666
Normal
0.1
615
Tumor
0.1
546
Normal
0.1
881
Tumor
0.1
924
Normal
0.1
1028
Normal
0.1
313
Tumor
0.1
915
Tumor
0.1
218
Normal
0.1
958
Normal
0.1
213
Tumor
0.1
327
Tumor
0.1
883
Tumor
0.1
874
Normal
0.1
1027
Tumor
0.1
195
Tumor
0.1
672
Normal
0.1
146
Normal
0.1
1042
Normal
0.1
463
Tumor
0.1
618
Normal
0.1
461
Tumor
0.1
852
Normal
0.1
113
Tumor
0.1
328
Normal
0.1
1031
Tumor
0.0
536
Normal
0.0
386
Normal
0.0
196
Normal
0.0
465
Tumor
0.0
824
Normal
0.0
366
Normal
0.0
823
Tumor
0.0
416
Normal
0.0
884
Normal
0.0
513
Tumor
0.0
966
Normal
0.0
917
Tumor
0.0
647
Tumor
0.0
464
Normal
0.0
136
Normal
0.0
187
Tumor
0.0
574
Normal
0.0
663
Tumor
0.0
142
Normal
0.0
1021
Tumor
0.0
696
Normal
0.0
641
Tumor
0.0
727
Tumor
0.0
312
Normal
0.0
257
Tumor
0.0
818
Normal
0.0
214
Normal
0.0
431
Tumor
0.0
114
Normal
0.0
981
Tumor
0.0
814
Normal
0.0
393
Tumor
0.0
957
Tumor
0.0
388
Normal
0.0
148
Normal
0.0
686
Normal
0.0
722
Normal
0.0
514
Normal
0.0
525
Tumor
0.0
968
Normal
0.0
415
Tumor
0.0
953
Tumor
0.0
882
Normal
0.0
483
Tumor
0.0
385
Tumor
0.0
1046
Normal
-0.1
964
Normal
-0.1
922
Normal
-0.1
716
Normal
-0.1
297
Tumor
-0.1
745
Tumor
-0.1
627
Tumor
-0.1
1022
Normal
-0.1
567
Tumor
-0.1
452
Normal
-0.1
132
Normal
-0.1
858
Normal
-0.1
111
Normal
-0.1
1032
Normal
-0.1
228
Normal
-0.1
537
Tumor
-0.1
332
Normal
-0.1
395
Tumor
-0.1
914
Normal
-0.1
1044
Normal
-0.1
424
Normal
-0.1
412
Normal
-0.1
411
Tumor
-0.1
738
Normal
-0.1
364
Normal
-0.1
272
Normal
-0.1
396
Normal
-0.1
362
Normal
-0.1
284
Normal
-0.1
568
Normal
-0.2
916
Normal
-0.2
868
Normal
-0.2
268
Normal
-0.2
977
Tumor
-0.2
648
Normal
-0.2
573
Tumor
-0.2
428
Normal
-0.2
434
Normal
-0.2
492
Normal
-0.2
976
Normal
-0.2
456
Normal
-0.2
554
Normal
-0.2
361
Tumor
-0.2
728
Normal
-0.2
984
Normal
-0.2
534
Normal
-0.2
954
Normal
-0.2
698
Normal
-0.2
952
Normal
-0.2
911
Tumor
-0.2
356
Normal
-0.2
147
Tumor
-0.2
526
Normal
-0.2
447
Tumor
-0.2
145
Tumor
-0.2
498
Normal
-0.2
518
Normal
-0.2
314
Normal
-0.2
341
Tumor
-0.2
262
Normal
-0.2
394
Normal
-0.2
923
Tumor
-0.2
342
Normal
-0.2
944
Normal
-0.2
128
Normal
-0.2
162
Normal
-0.2
277
Tumor
-0.2
1025
Tumor
-0.2
354
Normal
-0.2
617
Tumor
-0.2
141
Tumor
-0.2
862
Normal
-0.2
222
Normal
-0.3
918
Normal
-0.3
742
Normal
-0.3
432
Normal
-0.3
433
Tumor
-0.3
468
Normal
-0.3
422
Normal
-0.3
662
Normal
-0.3
755
Tumor
-0.3
278
Normal
-0.3
462
Normal
-0.3
172
Normal
-0.3
286
Normal
-0.3
258
Normal
-0.3
571
Tumor
-0.3
1026
Normal
-0.3
714
Normal
-0.3
448
Normal
-0.3
451
Tumor
-0.3
1043
Tumor
-0.3
392
Normal
-0.3
212
Normal
-0.3
1016
Normal
-0.3
527
Tumor
-0.3
664
Normal
-0.3
376
Normal
-0.3
756
Normal
-0.3
943
Tumor
-0.3
873
Tumor
-0.3
466
Normal
-0.3
786
Normal
-0.3
572
Normal
-0.3
866
Normal
-0.3
864
Normal
-0.3
211
Tumor
-0.3
564
Normal
-0.3
426
Normal
-0.3
1014
Normal
-0.3
723
Tumor
-0.3
616
Normal
-0.3
443
Tumor
-0.4
232
Normal
-0.4
484
Normal
-0.4
955
Tumor
-0.4
912
Normal
-0.4
494
Normal
-0.4
642
Normal
-0.4
524
Normal
-0.4
661
Tumor
-0.4
123
Tumor
-0.4
1015
Tumor
-0.4
344
Normal
-0.4
436
Normal
-0.4
358
Normal
-0.4
473
Tumor
-0.4
497
Tumor
-0.4
937
Tumor
-0.4
861
Tumor
-0.4
478
Normal
-0.4
487
Tumor
-0.4
867
Tumor
-0.4
435
Tumor
-0.4
926
Normal
-0.4
467
Tumor
-0.4
446
Normal
-0.4
724
Normal
-0.4
171
Tumor
-0.4
353
Tumor
-0.5
721
Tumor
-0.5
477
Tumor
-0.5
352
Normal
-0.5
298
Normal
-0.5
481
Tumor
-0.5
423
Tumor
-0.5
635
Tumor
-0.5
978
Normal
-0.5
445
Tumor
-0.5
488
Normal
-0.5
414
Normal
-0.5
533
Tumor
-0.5
558
Normal
-0.5
413
Tumor
-0.5
913
Tumor
-0.5
493
Tumor
-0.5
267
Tumor
-0.5
161
Tumor
-0.5
636
Normal
-0.6
482
Normal
-0.6
127
Tumor
-0.6
628
Normal
-0.6
357
Tumor
-0.6
865
Tumor
-0.7
557
Tumor
-0.7
528
Normal
-0.7
925
Tumor
-0.7
1013
Tumor
-0.7
231
Tumor
-0.8
427
Tumor
-0.8
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.